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Data Engineer

Xpertiz IncUnited States🇺🇸United StatesPosted Sep 11, 2026

Why This Role Stands Out

Advance your career as a Senior Data Engineer at Xpertiz Inc., a leading technology firm, where you'll design and optimize enterprise-scale data platforms and pipelines in a hybrid work environment. If you have 10+ years of experience with Python, SQL, PySpark, and cloud data warehousing, and thrive on tackling complex data challenges, this role offers significant growth and impact.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
6 days ago
ETLSnowflakeDatabricksPython

Job Description

Job Title: Senior Data Engineer


Experience: 10+ Years

Title: Data Engineer
Location: Remote
 
Need Data Engineers with:
1. Hands on experience working in Databricks – understanding the core engineering capabilities of the tool (data organization, engineering techniques, compute).
2. Strong understanding of data i.e. ability to read tables and come up with the right join criteria, run data checks like duplicate identification, etc.
3. Very strong communication skills. We are moving very fast, many meetings, requirements are changing. We need someone who can navigate this, clarify any ambiguity and not assume.
Role Description:
UHC (UnitedHealthcare) Operations is seeking a skilled Data Engineer to support the onboarding and integration of AmplifAI, an AI-driven capability designed to enhance contact center coaching and performance management. This role will focus on building metrics, designing and implementing secure, scalable data pipelines and Snowflake connectivity between UHC enterprise applications and the AmplifAI platform.
Required Skills:
* 5+ years of hands-on experience working in Databricks.
* 3+ years of experience with Data Modeling, ETL/ELT, and distributed data processing
* 5+ years of experience working with Spark
* 5+ years of experience working with Snowflake
* 5+ years of experience working with Python
Desired Skills:
Familiarity with data governance, metadata management, or data quality frameworks
* Experience in system/application integrations
* Exposure to DevOps or DataOps practices (CI/CD, infrastructure as code, monitoring)
* Experience working in large, regulated, or enterprise scale environments
* Working knowledge of data modeling and schema design
* Solid experience in ETL/ELT and distributed data processing
* Experience with the application of AI/ML tools and models to data processing and ETL workloads

 

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